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       <section id="torch-tensorrt-logging">
        <span id="torch-tensorrt-logging-py">
        </span>
        <h1 id="py-api-logging--page-root">
         torch_tensorrt.logging
         <a class="headerlink" href="#py-api-logging--page-root" title="Permalink to this headline">
          ¶
         </a>
        </h1>
        <span class="target" id="module-torch_tensorrt.logging">
        </span>
        <dl class="py class">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.Level">
          <em class="property">
           <span class="pre">
            class
           </span>
           <span class="w">
           </span>
          </em>
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            Level
           </span>
          </span>
          <span class="sig-paren">
           (
          </span>
          <em class="sig-param">
           <span class="n">
            <span class="pre">
             value
            </span>
           </span>
          </em>
          <span class="sig-paren">
           )
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.Level" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Bases:
           <code class="xref py py-class docutils literal notranslate">
            <span class="pre">
             enum.Enum
            </span>
           </code>
          </p>
          <p>
           Enum to set the minimum required logging level to print a message to stdout
          </p>
          <dl class="py attribute">
           <dt class="sig sig-object py" id="torch_tensorrt.logging.Level.Debug">
            <span class="sig-name descname">
             <span class="pre">
              Debug
             </span>
            </span>
            <em class="property">
             <span class="w">
             </span>
             <span class="p">
              <span class="pre">
               =
              </span>
             </span>
             <span class="w">
             </span>
             <span class="pre">
              &lt;LogLevel.DEBUG:
             </span>
             <span class="pre">
              4&gt;
             </span>
            </em>
            <a class="headerlink" href="#torch_tensorrt.logging.Level.Debug" title="Permalink to this definition">
             ¶
            </a>
           </dt>
           <dd>
           </dd>
          </dl>
          <dl class="py attribute">
           <dt class="sig sig-object py" id="torch_tensorrt.logging.Level.Error">
            <span class="sig-name descname">
             <span class="pre">
              Error
             </span>
            </span>
            <em class="property">
             <span class="w">
             </span>
             <span class="p">
              <span class="pre">
               =
              </span>
             </span>
             <span class="w">
             </span>
             <span class="pre">
              &lt;LogLevel.ERROR:
             </span>
             <span class="pre">
              1&gt;
             </span>
            </em>
            <a class="headerlink" href="#torch_tensorrt.logging.Level.Error" title="Permalink to this definition">
             ¶
            </a>
           </dt>
           <dd>
           </dd>
          </dl>
          <dl class="py attribute">
           <dt class="sig sig-object py" id="torch_tensorrt.logging.Level.Graph">
            <span class="sig-name descname">
             <span class="pre">
              Graph
             </span>
            </span>
            <em class="property">
             <span class="w">
             </span>
             <span class="p">
              <span class="pre">
               =
              </span>
             </span>
             <span class="w">
             </span>
             <span class="pre">
              &lt;LogLevel.GRAPH:
             </span>
             <span class="pre">
              5&gt;
             </span>
            </em>
            <a class="headerlink" href="#torch_tensorrt.logging.Level.Graph" title="Permalink to this definition">
             ¶
            </a>
           </dt>
           <dd>
           </dd>
          </dl>
          <dl class="py attribute">
           <dt class="sig sig-object py" id="torch_tensorrt.logging.Level.Info">
            <span class="sig-name descname">
             <span class="pre">
              Info
             </span>
            </span>
            <em class="property">
             <span class="w">
             </span>
             <span class="p">
              <span class="pre">
               =
              </span>
             </span>
             <span class="w">
             </span>
             <span class="pre">
              &lt;LogLevel.INFO:
             </span>
             <span class="pre">
              3&gt;
             </span>
            </em>
            <a class="headerlink" href="#torch_tensorrt.logging.Level.Info" title="Permalink to this definition">
             ¶
            </a>
           </dt>
           <dd>
           </dd>
          </dl>
          <dl class="py attribute">
           <dt class="sig sig-object py" id="torch_tensorrt.logging.Level.InternalError">
            <span class="sig-name descname">
             <span class="pre">
              InternalError
             </span>
            </span>
            <em class="property">
             <span class="w">
             </span>
             <span class="p">
              <span class="pre">
               =
              </span>
             </span>
             <span class="w">
             </span>
             <span class="pre">
              &lt;LogLevel.INTERNAL_ERROR:
             </span>
             <span class="pre">
              0&gt;
             </span>
            </em>
            <a class="headerlink" href="#torch_tensorrt.logging.Level.InternalError" title="Permalink to this definition">
             ¶
            </a>
           </dt>
           <dd>
           </dd>
          </dl>
          <dl class="py attribute">
           <dt class="sig sig-object py" id="torch_tensorrt.logging.Level.Warning">
            <span class="sig-name descname">
             <span class="pre">
              Warning
             </span>
            </span>
            <em class="property">
             <span class="w">
             </span>
             <span class="p">
              <span class="pre">
               =
              </span>
             </span>
             <span class="w">
             </span>
             <span class="pre">
              &lt;LogLevel.WARNING:
             </span>
             <span class="pre">
              2&gt;
             </span>
            </em>
            <a class="headerlink" href="#torch_tensorrt.logging.Level.Warning" title="Permalink to this definition">
             ¶
            </a>
           </dt>
           <dd>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py class">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.debug">
          <em class="property">
           <span class="pre">
            class
           </span>
           <span class="w">
           </span>
          </em>
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            debug
           </span>
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.debug" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Bases:
           <code class="xref py py-class docutils literal notranslate">
            <span class="pre">
             object
            </span>
           </code>
          </p>
          <p>
           Context-manager to display full debug information through the logger
          </p>
          <p>
           Example:
          </p>
          <dl class="simple">
           <dt>
            with torch_tensorrt.logging.debug():
           </dt>
           <dd>
            <p>
             model_trt = torch_tensorrt.compile(model,
             <a href="#id1">
              <span class="problematic" id="id2">
               **
              </span>
             </a>
             spec)
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py class">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.errors">
          <em class="property">
           <span class="pre">
            class
           </span>
           <span class="w">
           </span>
          </em>
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            errors
           </span>
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.errors" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Bases:
           <code class="xref py py-class docutils literal notranslate">
            <span class="pre">
             object
            </span>
           </code>
          </p>
          <p>
           Context-manager to limit displayed log messages to just errors and above
          </p>
          <p>
           Example:
          </p>
          <dl class="simple">
           <dt>
            with torch_tensorrt.logging.errors():
           </dt>
           <dd>
            <p>
             outputs = model_torchtrt(inputs)
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py function">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.get_is_colored_output_on">
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            get_is_colored_output_on
           </span>
          </span>
          <span class="sig-paren">
           (
          </span>
          <span class="sig-paren">
           )
          </span>
          <span class="sig-return">
           <span class="sig-return-icon">
            →
           </span>
           <span class="sig-return-typehint">
            <span class="pre">
             bool
            </span>
           </span>
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.get_is_colored_output_on" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Get if colored output is enabled for logging
          </p>
          <dl class="field-list simple">
           <dt class="field-odd">
            Returns
           </dt>
           <dd class="field-odd">
            <p>
             If colored output is one
            </p>
           </dd>
           <dt class="field-even">
            Return type
           </dt>
           <dd class="field-even">
            <p>
             bool
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py function">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.get_logging_prefix">
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            get_logging_prefix
           </span>
          </span>
          <span class="sig-paren">
           (
          </span>
          <span class="sig-paren">
           )
          </span>
          <span class="sig-return">
           <span class="sig-return-icon">
            →
           </span>
           <span class="sig-return-typehint">
            <span class="pre">
             str
            </span>
           </span>
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.get_logging_prefix" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Get the prefix set for logging messages
          </p>
          <dl class="field-list simple">
           <dt class="field-odd">
            Returns
           </dt>
           <dd class="field-odd">
            <p>
             Prefix used for logger
            </p>
           </dd>
           <dt class="field-even">
            Return type
           </dt>
           <dd class="field-even">
            <p>
             str
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py function">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.get_reportable_log_level">
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            get_reportable_log_level
           </span>
          </span>
          <span class="sig-paren">
           (
          </span>
          <span class="sig-paren">
           )
          </span>
          <span class="sig-return">
           <span class="sig-return-icon">
            →
           </span>
           <span class="sig-return-typehint">
            <a class="reference internal" href="#torch_tensorrt.logging.Level" title="torch_tensorrt.logging.Level">
             <span class="pre">
              torch_tensorrt.logging.Level
             </span>
            </a>
           </span>
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.get_reportable_log_level" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Get the level required for a message to be printed in the log
          </p>
          <dl class="field-list simple">
           <dt class="field-odd">
            Returns
           </dt>
           <dd class="field-odd">
            <p>
             The enum representing the level required to print
            </p>
           </dd>
           <dt class="field-even">
            Return type
           </dt>
           <dd class="field-even">
            <p>
             <a class="reference internal" href="#torch_tensorrt.logging.Level" title="torch_tensorrt.logging.Level">
              torch_tensorrt.logging.Level
             </a>
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py class">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.graphs">
          <em class="property">
           <span class="pre">
            class
           </span>
           <span class="w">
           </span>
          </em>
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            graphs
           </span>
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.graphs" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Bases:
           <code class="xref py py-class docutils literal notranslate">
            <span class="pre">
             object
            </span>
           </code>
          </p>
          <p>
           Context-manager to display the results of intermediate lowering passes
as well as full debug information through the logger
          </p>
          <p>
           Example:
          </p>
          <dl class="simple">
           <dt>
            with torch_tensorrt.logging.graphs():
           </dt>
           <dd>
            <p>
             model_trt = torch_tensorrt.compile(model,
             <a href="#id3">
              <span class="problematic" id="id4">
               **
              </span>
             </a>
             spec)
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py class">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.info">
          <em class="property">
           <span class="pre">
            class
           </span>
           <span class="w">
           </span>
          </em>
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            info
           </span>
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.info" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Bases:
           <code class="xref py py-class docutils literal notranslate">
            <span class="pre">
             object
            </span>
           </code>
          </p>
          <p>
           Context-manager to display all info and greater severity messages
          </p>
          <p>
           Example:
          </p>
          <dl class="simple">
           <dt>
            with torch_tensorrt.logging.info():
           </dt>
           <dd>
            <p>
             model_trt = torch_tensorrt.compile(model,
             <a href="#id5">
              <span class="problematic" id="id6">
               **
              </span>
             </a>
             spec)
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py class">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.internal_errors">
          <em class="property">
           <span class="pre">
            class
           </span>
           <span class="w">
           </span>
          </em>
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            internal_errors
           </span>
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.internal_errors" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Bases:
           <code class="xref py py-class docutils literal notranslate">
            <span class="pre">
             object
            </span>
           </code>
          </p>
          <p>
           Context-manager to limit displayed log messages to just internal errors
          </p>
          <p>
           Example:
          </p>
          <dl class="simple">
           <dt>
            with torch_tensorrt.logging.internal_errors():
           </dt>
           <dd>
            <p>
             outputs = model_torchtrt(inputs)
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py function">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.log">
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            log
           </span>
          </span>
          <span class="sig-paren">
           (
          </span>
          <em class="sig-param">
           <span class="n">
            <span class="pre">
             level
            </span>
           </span>
           <span class="p">
            <span class="pre">
             :
            </span>
           </span>
           <span class="w">
           </span>
           <span class="n">
            <a class="reference internal" href="#torch_tensorrt.logging.Level" title="torch_tensorrt.logging.Level">
             <span class="pre">
              torch_tensorrt.logging.Level
             </span>
            </a>
           </span>
          </em>
          ,
          <em class="sig-param">
           <span class="n">
            <span class="pre">
             msg
            </span>
           </span>
           <span class="p">
            <span class="pre">
             :
            </span>
           </span>
           <span class="w">
           </span>
           <span class="n">
            <span class="pre">
             str
            </span>
           </span>
          </em>
          <span class="sig-paren">
           )
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.log" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Add a new message to the log
          </p>
          <p>
           Adds a new message to the log at a specified level. The message
will only get printed out if Level &gt; reportable_log_level
          </p>
          <dl class="field-list simple">
           <dt class="field-odd">
            Parameters
           </dt>
           <dd class="field-odd">
            <ul class="simple">
             <li>
              <p>
               <strong>
                level
               </strong>
               (
               <a class="reference internal" href="#torch_tensorrt.logging.Level" title="torch_tensorrt.logging.Level">
                <em>
                 torch_tensorrt.logging.Level
                </em>
               </a>
               ) – Severity of the message
              </p>
             </li>
             <li>
              <p>
               <strong>
                msg
               </strong>
               (
               <em>
                str
               </em>
               ) – Actual message text
              </p>
             </li>
            </ul>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py function">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.set_is_colored_output_on">
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            set_is_colored_output_on
           </span>
          </span>
          <span class="sig-paren">
           (
          </span>
          <em class="sig-param">
           <span class="n">
            <span class="pre">
             colored_output_on
            </span>
           </span>
           <span class="p">
            <span class="pre">
             :
            </span>
           </span>
           <span class="w">
           </span>
           <span class="n">
            <span class="pre">
             bool
            </span>
           </span>
          </em>
          <span class="sig-paren">
           )
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.set_is_colored_output_on" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Enable or disable color in the log output
          </p>
          <dl class="field-list simple">
           <dt class="field-odd">
            Parameters
           </dt>
           <dd class="field-odd">
            <p>
             <strong>
              colored_output_on
             </strong>
             (
             <em>
              bool
             </em>
             ) – If colored output should be enabled or not
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py function">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.set_logging_prefix">
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            set_logging_prefix
           </span>
          </span>
          <span class="sig-paren">
           (
          </span>
          <em class="sig-param">
           <span class="n">
            <span class="pre">
             prefix
            </span>
           </span>
           <span class="p">
            <span class="pre">
             :
            </span>
           </span>
           <span class="w">
           </span>
           <span class="n">
            <span class="pre">
             str
            </span>
           </span>
          </em>
          <span class="sig-paren">
           )
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.set_logging_prefix" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Set the prefix used when logging messages
          </p>
          <dl class="field-list simple">
           <dt class="field-odd">
            Parameters
           </dt>
           <dd class="field-odd">
            <p>
             <strong>
              prefix
             </strong>
             (
             <em>
              str
             </em>
             ) – Prefix to use for logging messages
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py function">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.set_reportable_log_level">
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            set_reportable_log_level
           </span>
          </span>
          <span class="sig-paren">
           (
          </span>
          <em class="sig-param">
           <span class="n">
            <span class="pre">
             level
            </span>
           </span>
           <span class="p">
            <span class="pre">
             :
            </span>
           </span>
           <span class="w">
           </span>
           <span class="n">
            <a class="reference internal" href="#torch_tensorrt.logging.Level" title="torch_tensorrt.logging.Level">
             <span class="pre">
              torch_tensorrt.logging.Level
             </span>
            </a>
           </span>
          </em>
          <span class="sig-paren">
           )
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.set_reportable_log_level" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Set the level required for a message to be printed to the log
          </p>
          <dl class="field-list simple">
           <dt class="field-odd">
            Parameters
           </dt>
           <dd class="field-odd">
            <p>
             <strong>
              level
             </strong>
             (
             <a class="reference internal" href="#torch_tensorrt.logging.Level" title="torch_tensorrt.logging.Level">
              <em>
               torch_tensorrt.logging.Level
              </em>
             </a>
             ) – The enum representing the level required to print
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
        <dl class="py class">
         <dt class="sig sig-object py" id="torch_tensorrt.logging.warnings">
          <em class="property">
           <span class="pre">
            class
           </span>
           <span class="w">
           </span>
          </em>
          <span class="sig-prename descclassname">
           <span class="pre">
            torch_tensorrt.logging.
           </span>
          </span>
          <span class="sig-name descname">
           <span class="pre">
            warnings
           </span>
          </span>
          <a class="headerlink" href="#torch_tensorrt.logging.warnings" title="Permalink to this definition">
           ¶
          </a>
         </dt>
         <dd>
          <p>
           Bases:
           <code class="xref py py-class docutils literal notranslate">
            <span class="pre">
             object
            </span>
           </code>
          </p>
          <p>
           Context-manager to limit displayed log messages to just warnings and above
          </p>
          <p>
           Example:
          </p>
          <dl class="simple">
           <dt>
            with torch_tensorrt.logging.warnings():
           </dt>
           <dd>
            <p>
             model_trt = torch_tensorrt.compile(model,
             <a href="#id7">
              <span class="problematic" id="id8">
               **
              </span>
             </a>
             spec)
            </p>
           </dd>
          </dl>
         </dd>
        </dl>
       </section>
      </article>
     </div>
    </div>
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